iLink Digital

<html><body> <\/span> <\/span> <\/span> About The Company:<\/b> <\/span> <\/span> <\/span> <\/span> <\/span> <\/span> <\/p> <\/span> <\/span> <\/p> <div class="align-justify"> iLink Digital is a Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing x26amp; Application Modernization, Data Management x26amp; Analytics, Enterprise Mobility, Portal, collaboration x26amp; Social Employee Engagement, Embedded Systems and User Experience design etc.<\/span> <\/span> <\/span> <\/span> <\/span> <\/span> <\/div> x26nbsp;<\/span> <\/span> <\/span> <\/span> <\/span> <\/span> <\/p> What makes iLinkx27s offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.<\/span> <\/span> <\/span> <\/span> <\/span> <\/span> <\/p> <div class="align-justify"> <\/span> <\/span> <\/div> <\/span> <h3>Requirements<\/h3> </h3>We are seeking a visionary AI Architect<\/b> to lead the design, development, and implementation of cutting-edge AI solutions. The ideal candidate will have a strong background in machine learning, data engineering, cloud architecture, and enterprise-grade solution design. You will collaborate with stakeholders to translate business challenges into scalable AI-driven systems. <\/p> Key Responsibilities:<\/b> <\/p> <ul> <li>Lead the design and architecture of AI/ML solutions across the organization. <\/li> </li><li>Collaborate with data scientists, engineers, product owners, and business leaders to define AI use cases and deliverables. <\/li> </li><li>Define architecture standards and best practices for AI solution development and deployment. <\/li> </li><li>Ensure AI models are scalable, robust, and integrated with existing systems and data platforms. <\/li> </li><li>Oversee end-to-end MLOps processes, including versioning, monitoring, and continuous integration/deployment (CI/CD). <\/li> </li><li>Evaluate and select AI tools, frameworks, and technologies aligned with enterprise needs. <\/li> </li><li>Stay current on AI/ML trends, tools, and regulations (including ethical AI practices). <\/li> </li><li>Provide technical leadership and mentorship to development teams. <\/li> </li><li>Prepare architecture documentation and presentations for stakeholders and leadership. <\/li> <\/ul> Required Qualifications:<\/b> <\/p> <ul> <li>Bachelorx27s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. <\/li> </li><li>Proven experience in architecting AI/ML solutions in cloud environments (AWS, Azure, or GCP). <\/li> </li><li>Deep understanding of machine learning algorithms, NLP, computer vision, and deep learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face). <\/li> </li><li>Strong proficiency in Python and relevant ML libraries. <\/li> </li><li>Solid experience with data engineering pipelines, data lakes, and APIs. <\/li> </li><li>Familiarity with MLOps platforms (e.g., MLflow, Kubeflow, SageMaker, Azure ML). <\/li> </li><li>Strong knowledge of software architecture patterns and microservices. <\/li> </li><li>Excellent communication, stakeholder management, and documentation skills. <\/li> <\/ul> Preferred Qualifications:<\/b> <\/p> <ul> <li>AI/ML certification (e.g., Google Professional ML Engineer, AWS Machine Learning Specialty). <\/li> </li><li>Experience working in regulated industries (healthcare, finance, etc.). <\/li> </li><li>Familiarity with Generative AI, LLMs (like GPT), and Responsible AI principles. <\/li> </li><li>Experience in DevOps or Infrastructure as Code (e.g., Terraform, Docker, Kubernetes). <\/li> <\/ul> x26nbsp; <\/p> <div> <\/div> <\/span> <h3>Benefits<\/h3> <ul> <li class="x_-2090616768MsoListParagraph"> Competitive salaries<\/span> <\/span> <\/span> <\/li> <li class="x_-2090616768MsoListParagraph"> Medical Insurance<\/span> <\/span> <\/span> <\/li> <li class="x_-2090616768MsoListParagraph"> Employee Referral Bonuses<\/span> <\/span> <\/span> <\/li> <li class="x_-2090616768MsoListParagraph"> Performance Based Bonuses<\/span> <\/span> <\/span> <\/li> <li class="x_-2090616768MsoListParagraph"> Flexible Work Options x26amp; Fun Culture<\/span> <\/span> <\/li> <li class="x_-2090616768MsoListParagraph"> Robust Learning x26amp; Development Programs<\/span> <\/span> <\/span> <\/li> <li class="x_-2090616768MsoListParagraph"> In-House Technology Training<\/span> <\/span> <\/span> <\/li> <\/ul> <div> <\/div> <\/span> </div></li></li></li></li></li></li></li></ul></h3></div></li></ul></li></ul></li></ul></div></div></body></html>

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